Law Enforcement

Machine Empowered Technology - Intelligence Solutions

Modern law enforcement, public safety and security organizations face overwhelming big-data challenges due to the fast pace, variety of collection sources, increasing volume, and complexity of information in a constantly changing intelligence landscape.
This combined with unprecedented and persistent recruitment and retention challenges has necessitated a scale back on investigative work to cover routine patrol duties in many agencies, making the need for emerging technological solutions more important than ever.
METIS is democratizing the Use of Artificial Intelligence to Uncover New, Meaningful, and Even Hidden Insights to Identify Emerging Threats, Reduce Crime, and Enhance Overall Public Safety. 
METIS deploys thousands of virtual analysts 24/7, to answer intelligence and investigative questions, alert on emerging threats, connect suspects to crimes, and/or crimes to suspects with unprecedented speed and accuracy. 
Our cutting-edge platform provides a fast and reliable “decision advantage” to police leaders, investigators, and analysts using the power of AI to leverage human knowledge, minimize human effort for mundane and repetitive work though automation, and combine the latest advancements in data science, fusion, heuristics, optical character recognition (OCR), natural language processing (NLP), language learning models (LLMs), and computer vision (CV) with other technological advancements in facial, object and voice recognition; open source, geo-spatial, and  activity-based intelligence, and others to perform in-depth and high-level, big-data analysis with precision, speed and scale that is affordable to all size agencies, in one vendor agnostic platform.
The METIS AI-powered analytics process combines automated workflows, best of breed enrichment engines and state of the art big data analytics to continuously analyze structured and unstructured data from all available sources – audio; video, still capture, and other visual images; digital forensics; documents; call data records, incident and case management records, and an unlimited number of other sources – quickly ‘connecting-the-dots’ to identify emerging threats and security vulnerabilities, expose criminal activities, resolve investigations, and close cases. 
Our flexible platform and adaptable ontology also allows each solution to be customized quickly to an agency’s current requirements and adapt with the agency as priorities change, or requirements increase, so uncertainty can be met, head on.



Security Alerts Facilitating Early Warnings and Threat Countermeasures Hub

This is our AI enhanced threat detection system that fuses available agency information with OSINT tools to facilitate early warnings to emerging threats before they happen and alerts law enforcement organizations so they can anticipate, develop and deploy  countermeasures.


Gathering Unified Crime Analytics to Respond to and Deploy Intelligence-based Activities in our Neighborhoods  

This is our AI enhanced Crime Analytics module to put the “Cops on the Dots” based on temporal, spatial and relational analysis of crime data. Guardian helps law enforcement agencies identify patterns and trends to generate data driven resource deployment strategies that deter and reduce crime.


Verifying Intelligence Gathered in Law-enforcement for Advanced Notification and Tactical-Alerting

This is our AI enhanced module to allow dispatch to gain all available insights to a tip or 911 call, based on a deep dive of CAD/RMS and other integrated systems using the name, address, phone, voice identification and other information provided in the caller. This program is designed to provide the responding officer with all relevant information as well as emergent risk factors prior to arrival at the call for service.

This program also can use AI to automate transcribe and translate 911 audio call direct to RMS reporting so the dispatcher can concentrate more on listening to the call and communicating necessary information to the responding officers.


Safety Enhanced Network for Training Initiatives that Nurture Excellence in Law Enforcement 

This is our AI enhanced officer safety, training and accountability module that automates the review of thousands of hours of Body Cam footage to assist in officer collection and recall of evidence obtained during field encounters, evaluate communication and tactics for officer safety and training opportunities, and ensure officer compliance with fairness and procedural justice. 

Once agency criteria is established, METIS will flag and alert on footage that is appropriate for human review. Unlike our competitors, METIS can integrate this process with other key data sources and information systems to provide important context to each encounter so that decision makers can identify best practices and create training opportunities that improve officer performance before officer behaviors lead to the need to take corrective actions.      

This product can also include our AI driven automation tool that will transcribe and translate officer Body-cam video and integrate the video and transcription directly to the agency police reporting system for preservation prior to court proceedings. 


Synchronized Learning Environment Using Technology & Heuristics to (Solve Crimes)

This is our primary AI enhanced module  to help solve cases fast and with precision by having the capability to integrate all sources of information into a fusion environment that can then use high powered contextual analytics in context with time, location, and associations between people and groups to solve crimes. 

Our most basic package begins with our AI enhanced toolkit that allows analysts and investigators to automate the analysis of call data records, geo-location pings, and other communications related data with Digital Forensics and Document Exploitation reports of smart phones, tablets and computers to quickly identify suspects to crime, crime to suspects, locations, associations, and timelines.  Once this is mastered, METIS can continue to integrate other systems like CAD/RMS, CCTV cameras, (A)LPR captures, gunshot detection and many other systems to provide big-data analysis all with the intention to identify planned future criminal activities and solve prior crimes.



METIS Intelligence helped one of our clients to solve s string of bank robberies by exploiting a cell phone after an unrelated arrest of John DOE. The digital forensics data taken from the phone was run through the METIS software and identified what appeared to be a code word, “TIGER” in a handful of What’s app conversations, because the word was out of context with the conversation. After this discovery, the METIS team then searched for the location of the individual at the time the code word was used, based on geolocation data and found that each time he used the word “TIGER” he positioned outside of a local bank. Further inquiries by METIS through the agency Records Management System (RMS) and Computer Assisted Dispatch (CAD) system revealed that all five of these bank locations had been robbed in the past several months.

Looking at the information more closely, the code word “TIGER” was used 5 minutes before the robbery each time. METIS was then used to query the CCTV video footage both inside and outside of the banks that were robbed using facial recognition and identified a positive match with the John DOE who had been arrested on an unrelated assault. The METIS software quickly identified John Doe as an individual that walked through the bank a few minutes before the robberies took place and was also captured outside the bank at the time the code word was used, and while the robberies took place. With this unexpected discovery, the police immediately had a suspect in these unsolved robberies, and it was obvious to them he was a lookout for the bank robberies.

After some additional investigation, and continued inquiries using the METIS system, the police were able to identify three accomplices of the five robberies, using additional technologies such as pattern of life software. The police agency was able to arrest and charge John DOE and the three previously unidentified individuals for the 5 unsolved bank robberies. But the case didn’t stop there, since the METIS system now was able to identify a pattern from the data, as well as the group involved in this pattern, the METIS team of virtual analysts at the request of the police agency expanded the search to the neighboring jurisdictions and found two additional bank robberies with the same subjects of investigation.  


METIS Intelligence helped another client solve a cartel-based high-end grand larceny ring that was suspected of stealing high-end pick-up trucks and exporting them to Mexico for use by the Drug Cartels. The city had been experiencing a high level of thefts of these high-end pick-up trucks and based on internal source information, believed the vehicles were being shipped to Mexico on the black market.  The METIS team quickly deployed its team of virtual analysts to search through all the available data.

As a first step, METIS quickly reviewed all the RMS data in the police agency’s system and discovered a that a majority of the vehicles were stolen from one neighborhood outside the downtown area. The METIS team then conducted a search through the city’s LPR camera system, based on information from the police reports and detected a dozen of the stolen vehicles had used a particular transit route along a major highway, and terminated in a warehouse location several miles from where the vehicles had been stolen.

The METIS team then conducted additional queries to see if it could find any photo captures along the route used in conjunction with the LPR captures of the stolen vehicles. Shortly after the query, the METIS system got an alert that one of the LPR captures had been at a gas station with a CCTV camera close to the warehouse  area.

The METIS virtual analysts immediately began to run facial recognition against the police agency database of mugshot photos and got a hit for a man previously arrested for car theft exiting the stolen vehicle and pumping gas. A short while later, the METIS system got another hit of the same individual from a CCTV camera close to the area where the truck had been stolen only a few minutes later.

Lastly, the METIS system then queried asset registries in the warehouse area to see I there were any properties owned by suspected or known cartel associates. It came up with an address of an automobile repair shop in the warehouse area under the name of a man who was previously identified in a police intelligence report as a Cartel associate.

The police agency after following up with surveillance and some other investigative steps was able to use this information to arrest the driver, and conduct a search warrant at the warehouse location, leading to the discovery of several stolen vehicles on the lot being prepared for shipment to Mexico by container.  Three additional individuals were arrested and charged. Investigation continues.  


METIS Intelligence assisted a police agency with a series of smash-and-grab robberies occurring in a downtown area of the city. During one of the robberies of a jewelry store, one of three suspects, all of whom were masked, dropped their cell phone.

After they fled the scene, police recovered the cell phone and conducted a digital forensics and document exploitation exam using a Cellebrite device and uploaded the report to the METIS system. Within minutes multiple helpful pieces of evidence were found that helped detectives solve the case quickly.

The METIS platform immediately discovered dozens of Bluetooth uplink connections between the phone and a white BMW M3 and using its object recognition software, matched this make, model and color with the CCTV feed outside the jewelry store with the make and model of the car used in the crime.

METIS was then deployed to search LPR captures in the vicinity of the jewelry store robbery and captured a plate number on the same make and model car in the local vicinity around the time of the crime.

Additionally, METIS surfaced dozens of photos and geo-tags found on the seized phone as well as several WhatsApp conversations between the suspect phone and three other individuals talking about plans to rob several luxury stores in the city’s shopping district. These conversations included photos of the items they wanted to rob, the store locations, and even a fence operation with a local pawn shop from previous suspected robberies.

Upon this discovery, the METIS platform was tasked to review this data in comparison to the client’s RMS and quickly identified that these geo-tags matched the locations of several other unsolved smash and grab robberies that had been committed over the past few months.

Based on the times, dates and locations the photos were taken, detectives now had evidence of what they believed to be surveillance and planning of the robberies, as well as phone numbers of the suspected accomplices.

The METIS platform also found photos of multiple vehicles including a white Cadillac Escalade with four young males taking photos outside of it only an hour before the most recent robbery.

METIS immediately did an object recognition search on the individuals and discovered they were wearing the same clothing that was captured on CCTV outside the location of the jewelry store robbery, based on a match of monogrammed hoodies and red Air Jordan sneakers.

METIS then processed the video of these four individuals using AI facial recognition software and identified four matches in the police agency’s mugshot database, all having previous arrests and also documented membership with the Bloods gang.

The police were able to seek arrest warrants for the four individuals, charging them with multiple smash and grab robberies.

The timeline to gather the evidence of this case took the METIS platform a handful of hours, where normally, this type of investigation would have taken multiple Detectives several weeks.

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